xeago

terms = []
terms += { term: { category_id: params[:category_id] } } if params[:category_id].present?
# etc

filter :and, terms if not terms.empty?

xeago

curl -XPUT 'http://127.0.0.1:9200/test/?pretty=1'  -d '
{
   "settings" : {
      "number_of_shards" : 1
   }
}
'
curl -XPUT 'http://127.0.0.1:9200/test/foo/1?pretty=1'  -d '
{
   "bar" : 5,

xeago

# [Tue Jun 21 12:05:39 2011] Protocol: http, Server: 192.168.5.103:9200
curl -XPUT 'http://127.0.0.1:9200/test/?pretty=1'  -d '
{
   "mappings" : {
      "contact" : {
         "properties" : {
            "twitter" : {
               "type" : "object",
               "properties" : {
                  "profile" : {

xeago

Yesterday I upgraded our running elasticsearch cluster on a site which serves a few million search requests a day, with zero downtime. I've been asked to describe the process, hence this blogpost.

To make it more complicated, the cluster was running elasticsearch version 0.17.8 (released 6 Oct 2011) and I upgraded it to the latest 0.19.10. There have been 21 releases between those two versions, with a lot of functional changes, so I needed to be ready to roll back if necessary.

Our setup:

• elasticsearch

We run elasticsearch on two biggish boxes: 16 cores plus 32GB of RAM. All indices have 1 replica, so all data is stored on both boxes (about 45GB of data). The primary data for our main indices is also stored in our database. We have a few other indices whose data is stored only in elasticsearch, but are updated once daily only. Finally, we store our sessions in elasticsearch, but active sessions are cached in memcached.

xeago

require 'terminal-table/import'

class SubsetSumMatrix
  class << self
    def create_empty_for(array)
      matrix = []
      header = [nil] + build_header_from(array)
      matrix << header
      array.each_with_index do |element,i|
        row = header.collect{|value| 'F'}